Analyze Diet

Topic:Predictive Model

Predictive models in equine research involve the use of statistical and computational techniques to forecast outcomes related to horse health, performance, and behavior. These models integrate various data inputs, such as genetic information, physiological parameters, and environmental factors, to predict future events or conditions. Applications of predictive models in equine science include anticipating disease outbreaks, assessing performance potential, and optimizing breeding strategies. By analyzing historical and real-time data, these models can provide insights that assist in decision-making processes. This page compiles peer-reviewed research studies and scholarly articles that explore the development, validation, and application of predictive models in the context of equine science.
The use of genomic assisted selection could allow early selection among Thoroughbreds and Polo Argentino horses for practicing polo.
Journal of equine veterinary science    May 17, 2024   105098 doi: 10.1016/j.jevs.2024.105098
Azcona F, Karlau A, Trigo P, Molina A, Demyda-Peyrás S.The Polo Argentino (PA) horse is a recognized breed, developed originally by mixing crossbred and Thoroughbred (TB) horses to play polo. Early PA selection is difficult due to unreliable performance estimations. This study investigated the usefulness of genomic markers previously linked to morphological and functional traits as a tool for the early selection of PA. To this, we genotyped 520 PA and 30 TB horses using the Equine GGPArray (Illumina, n=71,778 SNPs). Analyses included a genetic characterization of six genetic markers associated with behavioral (DRD4), muscular development (MSTN), a...
The Poses for Equine Research Dataset (PFERD).
Scientific data    May 15, 2024   Volume 11, Issue 1 497 doi: 10.1038/s41597-024-03312-1
Li C, Mellbin Y, Krogager J, Polikovsky S, Holmberg M, Ghorbani N, Black MJ, Kjellström H, Zuffi S, Hernlund E.Studies of quadruped animal motion help us to identify diseases, understand behavior and unravel the mechanics behind gaits in animals. The horse is likely the best-studied animal in this aspect, but data capture is challenging and time-consuming. Computer vision techniques improve animal motion extraction, but the development relies on reference datasets, which are scarce, not open-access and often provide data from only a few anatomical landmarks. Addressing this data gap, we introduce PFERD, a video and 3D marker motion dataset from horses using a full-body set-up of densely placed over 100...
Cardiovascular Fitness and Stride Acceleration in Race-Pace Workouts for the Prediction of Performance in Thoroughbreds.
Animals : an open access journal from MDPI    April 29, 2024   Volume 14, Issue 9 doi: 10.3390/ani14091342
Schrurs C, Dubois G, Van Erck-Westergren E, Gardner DS.In-training racehorse physiological data can be leveraged to further explore race-day performance prediction. To date, no large retrospective, observational study has analysed whether in-training speed and heart rate recovery can predict racehorse success. Speed (categorised as 'slow' to 'fast' according to the time taken to cover the last 600 m from a virtual finish line) and heart rate recovery (from gallop to 1 min after exercise) of flat racehorses (n = 485) of varying age, sex and type according to distance (e.g., sprinter, miler and stayer) were obtained using a fitness tracker from a si...
Differences in competitors’ market influence due to market structure: Evidence from Japanese gambling market.
Heliyon    April 27, 2024   Volume 10, Issue 9 e30274 doi: 10.1016/j.heliyon.2024.e30274
Nagata M, Matsuo T.This study investigates how differences in the market structure between the Japanese horse racing and Keirin racing markets affects the influence exercised by high-turnover operators (major operators) in both markets on low-turnover operators (minor operators) in those markets. In the horse racing market structure, there are few competitors, and the difference in turnover between major and minor operators is large. In contrast, in the Keirin racing market structure, there are many competitors, and the difference in turnover between major and minor operators is small. Panel analysis results sho...
Determination of speed and assessment of conditioning in horses submitted to a lactate minimum test-alternative approaches.
Frontiers in physiology    April 25, 2024   Volume 15 1324038 doi: 10.3389/fphys.2024.1324038
Ramos GV, Titotto AC, da Costa GB, Ferraz GC, de Lacerda-Neto JC.The maximal lactate steady state (MLSS) is a well-known gold standard method for determining the aerobic capacity of athletic horses. Owing to its high cost and complex execution, there is a search for standardized exercise tests that can predict this value in a single session. One of the methods described for this purpose is the lactate minimum test (LMT), which could be more accurate despite being adequate to predict MLSS. This study aimed to examine the impact of training on the speed corresponding to lactate minimum speed (LMS) and to apply new mathematical methods to evaluate the fitness ...
Assessing the predictability of racing performance of Thoroughbreds using mixed-effects model. Oda D, Onogi A.The inheritance of racing performance in Thoroughbreds is of interest to breeders and geneticists. Therefore, the genetic parameters of racing performance have been investigated in various populations of Thoroughbreds. However, the predictability of the racing performance of a racehorse has not been assessed well. In this study, we built mixed-effects models for Japanese Thoroughbreds and assessed their predictability of racing performance. We used the average velocity as an index of racing performance and treated each category of racecourse and distance as different traits. Model selection us...
Genetic architecture and polygenic risk score prediction of degenerative suspensory ligament desmitis (DSLD) in the Peruvian Horse.
Frontiers in genetics    August 14, 2023   Volume 14 1201628 doi: 10.3389/fgene.2023.1201628
Momen M, Brauer K, Patterson MM, Sample SJ, Binversie EE, Davis BW, Cothran EG, Rosa GJM, Brounts SH, Muir P. Spontaneous rupture of tendons and ligaments is common in several species including humans. In horses, degenerative suspensory ligament desmitis (DSLD) is an important acquired idiopathic disease of a major energy-storing tendon-like structure. DSLD risk is increased in several breeds, including the Peruvian Horse. Affected horses have often been used for breeding before the disease is apparent. Breed predisposition suggests a substantial genetic contribution, but heritability and genetic architecture of DSLD have not been determined. To identify genomic regions associated with DSLD, we recr...
Use of multiple admission variables better predicts intestinal strangulation in horses with colic than peritoneal or the ratio of peritoneal:blood l-lactate concentration.
Equine veterinary journal    August 4, 2023   doi: 10.1111/evj.13977
Long AE, Southwood LL, Morris TB, Brandly JE, Stefanovski D.Early identification of strangulating obstruction (SO) in horses with colic improves outcomes, yet early diagnosis of horses requiring surgery for SO often remains challenging. Objectives: To compare blood and peritoneal fluid l-lactate concentrations, peritoneal:blood l-lactate ratio, peritoneal minus blood (peritoneal-blood) l-lactate concentration and other clinical variables for predicting SO and SO in horses with small intestinal lesions (SO-SI) and then to develop a multivariable model to predict SO and SO-SI.
Dynamics of eastern equine encephalitis virus during the 2019 outbreak in the Northeast United States.
Current biology : CB    June 8, 2023   Volume 33, Issue 12 2515-2527.e6 doi: 10.1016/j.cub.2023.05.047
Hill V, Koch RT, Bialosuknia SM, Ngo K, Zink SD, Koetzner CA, Maffei JG, Dupuis AP, Backenson PB, Oliver J, Bransfield AB, Misencik MJ, Petruff TA....Eastern equine encephalitis virus (EEEV) causes a rare but severe disease in horses and humans and is maintained in an enzootic transmission cycle between songbirds and Culiseta melanura mosquitoes. In 2019, the largest EEEV outbreak in the United States for more than 50 years occurred, centered in the Northeast. To explore the dynamics of the outbreak, we sequenced 80 isolates of EEEV and combined them with existing genomic data. We found that, similar to previous years, cases were driven by multiple independent but short-lived virus introductions into the Northeast from Florida. Once in the ...
Novel holistic pharmacokinetic model applied to plasma and urine concentrations of 2,5-dihydroxybenzene sulphonate following administrations of calcium dobesilate and etamsylate to exercised horses.
Journal of veterinary pharmacology and therapeutics    May 31, 2023   doi: 10.1111/jvp.13387
Paine SW, Harding C, Waller CC, Zemenova J, Viljanto M, Habershon Butcher J, Hincks PR.Calcium dobesilate (CD) is a synthetic venoactive drug used in veterinary medicine to treat equine navicular disease. Etamsylate is a haemostatic agent used in horses for the treatment of exercise-induced pulmonary haemorrhage. Both etamsylate and CD dissociate in the circulatory system with 2,5-HBSA as the active drug. The aim of the research was to be able to provide detection time (DT) advice from pharmacokinetic (PK) studies in Thoroughbred horses to better inform trainers, and their veterinary surgeons, prescribing these substances for treatment of Thoroughbred racehorses. Two (pilot stud...
Detecting fatigue of sport horses with biomechanical gait features using inertial sensors.
PloS one    April 14, 2023   Volume 18, Issue 4 e0284554 doi: 10.1371/journal.pone.0284554
Darbandi H, Munsters C, Parmentier J, Havinga P.Detection of fatigue helps prevent injuries and optimize the performance of horses. Previous studies tried to determine fatigue using physiological parameters. However, measuring the physiological parameters, e.g., plasma lactate, is invasive and can be affected by different factors. In addition, the measurement cannot be done automatically and requires a veterinarian for sample collection. This study investigated the possibility of detecting fatigue non-invasively using a minimum number of body-mounted inertial sensors. Using the inertial sensors, sixty sport horses were measured during walk ...
Performance assessment of an equine metabolomics model for screening a range of anabolic agents.
Metabolomics : Official journal of the Metabolomic Society    April 7, 2023   Volume 19, Issue 4 38 doi: 10.1007/s11306-023-01985-0
Cloteau C, Dervilly G, Loup B, Delcourt V, Kaabia Z, Bagilet F, Groseille G, Dauriac K, Fisher S, Popot MA, Garcia P, Le Bizec B, Bailly-Chouriberry L.Despite their ban, Anabolic Androgenic Steroids (AAS) are considered as the most important threat for equine doping purposes. In the context of controlling such practices in horse racing, metabolomics has emerged as a promising alternative strategy to study the effect of a substance on metabolism and to discover new relevant biomarkers of effect. Based on the monitoring of 4 metabolomics derived candidate biomarkers in urine, a prediction model to screen for testosterone esters abuse was previously developed. The present work focuses on assessing the robustness of the associated method and def...
Predicting the Outcome of Equine Artificial Inseminations Using Chilled Semen.
Animals : an open access journal from MDPI    March 30, 2023   Volume 13, Issue 7 doi: 10.3390/ani13071203
Medica AJ, Lambourne S, Aitken RJ.This study aimed to determine whether an analysis of stallion ejaculate could accurately predict the likelihood of pregnancy resulting from artificial insemination in mares. This study involved 46 inseminations of 41 mares, using 7 standardbred stallions over a 5-week period at an Australian pacing stud. Semen quality was assessed immediately after collection and again after chilling at ~5 °C for 24 h. The assessment involved evaluating ejaculate volume, sperm concentration, and motility parameters using an iSperm® Equine portable device. After the initial evaluation, a subpopulation of cell...
Cerebrospinal fluid and serum proteomic profiles accurately distinguish neuroaxonal dystrophy from cervical vertebral compressive myelopathy in horses.
Journal of veterinary internal medicine    March 16, 2023   Volume 37, Issue 2 689-696 doi: 10.1111/jvim.16660
Donnelly CG, Johnson AL, Reed S, Finno CJ.Cervical vertebral compressive myelopathy (CVCM) and equine neuroaxonal dystrophy/degenerative myeloencephalopathy (eNAD/EDM) are leading causes of spinal ataxia in horses. The conditions can be difficult to differentiate, and there is currently no diagnostic modality that offers a definitive antemortem diagnosis. Objective: Evaluate novel proteomic techniques and machine learning algorithms to predict biomarkers that can aid in the antemortem diagnosis of noninfectious spinal ataxia in horses. Methods: Banked serum and cerebrospinal fluid (CSF) samples from necropsy-confirmed adult eNAD/EDM (...
Risk factors for, and prediction of, exertional heat illness in Thoroughbred racehorses at British racecourses.
Scientific reports    March 14, 2023   Volume 13, Issue 1 3063 doi: 10.1038/s41598-023-27892-x
Trigg LE, Lyons S, Mullan S.The development of exertional heat illness (EHI) is a health, welfare and performance concern for racehorses. However, there has been limited multivariable assessment of the possible risk factors for EHI in racehorses, despite such information being vital for regulators to effectively manage the condition. Consequently, this study aimed to identify the risk factors associated with the occurrence of EHI in Thoroughbred racehorses and assess the ability of the risk factor model to predict the occurrence of EHI in racehorses to assist in early identification. Runners at British racecourses record...
Dynamics of Eastern equine encephalitis virus during the 2019 outbreak in the Northeast United States.
medRxiv : the preprint server for health sciences    March 6, 2023   2023.03.06.23286851 doi: 10.1101/2023.03.06.23286851
Hill V, Koch RT, Bialosuknia SM, Ngo K, Zink SD, Koetzner CA, Maffei JG, Dupuis AP, Backenson PB, Oliver J, Bransfield AB, Misencik MJ, Petruff TA....Eastern equine encephalitis virus (EEEV) causes a rare but severe disease in horses and humans, and is maintained in an enzootic transmission cycle between songbirds and mosquitoes. In 2019, the largest EEEV outbreak in the United States for more than 50 years occurred, centered in the Northeast. To explore the dynamics of the outbreak, we sequenced 80 isolates of EEEV and combined them with existing genomic data. We found that, like previous years, cases were driven by frequent short-lived virus introductions into the Northeast from Florida. Once in the Northeast, we found that Massachusetts...
Deciphering sperm chromatin properties to predict stallion sperm fertility.
Animal reproduction science    February 16, 2023   Volume 250 107200 doi: 10.1016/j.anireprosci.2023.107200
Al-Kass Z, Ntallaris T, Morrell JM, Johannisson A.Although previous studies have examined the relationship between the sperm DNA fragmentation index and fertility in stallions, other aspects of chromatin structure or packaging and fertility have not been explored. In the present study, relationships between fertility and DNA fragmentation index, protamine deficiency, total thiols, free thiols and disulfide bonds in stallion spermatozoa were investigated. Ejaculates (n = 36) were collected from 12 stallions and extended to prepare semen doses for insemination. One dose from each ejaculate was sent to the Swedish University of Agricultural Sc...
Serum amyloid A does not predict non-survival in hospitalised adult horses with acute colitis.
The Veterinary record    February 13, 2023   Volume 192, Issue 7 e2644 doi: 10.1002/vetr.2644
Runge KE, Bak M, Vestergaard A, Staerk-Østergaard J, Jacobsen S, Pihl TH.Predicting non-survival in horses with acute colitis improves early decision making. Therefore, this study aimed to determine the prognostic value of serum amyloid A (SAA) and other clinicopathological and clinical variables in adult horses with acute colitis. Clinical variables, SAA and other blood biomarkers, including plasma L-lactate (lactate), were assessed in 176 horses with acute colitis. A multivariate model for the prediction of non-survival was constructed. Icelandic horses were analysed separately. Admission SAA was similar in survivors (median 548 mg/L; range 0-5453 mg/L) and...
IgE+ plasmablasts predict the onset of clinical allergy.
Frontiers in immunology    February 2, 2023   Volume 14 1104609 doi: 10.3389/fimmu.2023.1104609
Simonin EM, Babasyan S, Tarsillo J, Wagner B.IgE+ plasmablasts develop following allergen exposure and B cell activation. They secrete IgE and therefore are directly linked to maintain the mechanisms of IgE-mediated allergies. Here, we show that the presence of IgE+ plasmablasts in peripheral blood not only coincides with clinical allergy, but also predicts the upcoming development of clinical disease. Using an equine model of naturally occurring allergy, we compared the timing of allergen exposure, arrival of IgE+ plasmablasts in peripheral blood, and onset of clinical disease. We found that IgE+ plasmablasts predict the development of ...
Predicting the outcome of Thoroughbred stallion matings on the basis of dismount semen sample analyses.
Reproduction (Cambridge, England)    January 18, 2023   Volume 165, Issue 3 281-288 doi: 10.1530/REP-22-0309
Aitken RJ, Lambourne S, Medica AJ.A capacity to predict the likelihood of pregnancy following natural matings would be of considerable benefit to the Thoroughbred horse breeding industry. In this article, we describe a strategy for achieving this outcome through the analysis of dismount samples, that achieved an overall accuracy of 94.6%. The purpose of this study was to determine whether the analysis of dismount semen samples from Thoroughbred stallions could be used to predict whether a given mating would result in a pregnancy. The analysis was based on 143 matings of 141 mares by a cohort of 7 Thoroughbred stallions over a ...
Prediction of continuous and discrete kinetic parameters in horses from inertial measurement units data using recurrent artificial neural networks.
Scientific reports    January 13, 2023   Volume 13, Issue 1 740 doi: 10.1038/s41598-023-27899-4
Parmentier JIM, Bosch S, van der Zwaag BJ, Weishaupt MA, Gmel AI, Havinga PJM, van Weeren PR, Braganca FMS.Vertical ground reaction force (GRFz) measurements are the best tool for assessing horses' weight-bearing lameness. However, collection of these data is often impractical for clinical use. This study evaluates GRFz predicted using data from body-mounted IMUs and long short-term memory recurrent neural networks (LSTM-RNN). Twenty-four clinically sound horses, equipped with IMUs on the upper-body (UB) and each limb, walked and trotted on a GRFz measuring treadmill (TiF). Both systems were time-synchronised. Data from randomly selected 16, 4, and 4 horses formed training, validation, and test dat...
Efficient Development of Gait Classification Models for Five-Gaited Horses Based on Mobile Phone Sensors.
Animals : an open access journal from MDPI    January 3, 2023   Volume 13, Issue 1 doi: 10.3390/ani13010183
Davíðsson HB, Rees T, Ólafsdóttir MR, Einarsson H.Automated gait classification has traditionally been studied using horse-mounted sensors. However, smartphone-based sensors are more accessible, but the performance of gait classification models using data from such sensors has not been widely known or accessible. In this study, we performed horse gait classification using deep learning models and data from mobile phone sensors located in the rider's pocket. We gathered data from 17 horses and 14 riders. The data were gathered simultaneously from movement sensors in a mobile phone located in the rider's pocket and a gait classification system ...
Validation of inertial measurement units to detect and predict horse behaviour while stabled.
Equine veterinary journal    December 20, 2022   doi: 10.1111/evj.13909
Anderson K, Morrice-West AV, Walmsley EA, Fisher AD, Whitton RC, Hitchens PL.Musculoskeletal injuries are observed in Thoroughbred racehorses and may become catastrophic. Currently, there are limited methods for early detection of such injuries. Most injuries develop gradually due to accumulated damage, providing the opportunity for early detection. Horses experiencing pain or lameness may exhibit changes in behaviour so the development of an objective, real-time system monitoring horse behaviour may enable detection of bone injuries before catastrophic failure. Objective: To determine whether intensive observational methods of assessing horse behaviour can be replaced...
Protein microarray allergen profiling in bronchoalveolar lavage fluid and serum of horses with asthma.
Journal of veterinary internal medicine    December 8, 2022   Volume 37, Issue 1 328-337 doi: 10.1111/jvim.16600
Wyler M, Sage SE, Marti E, White S, Gerber V.The diagnostic value of allergen-specific immunoglobulin E (IgE) in horses with asthma is uncertain. A recently developed protein microarray detected abnormally high latex-specific IgE concentrations in the serum of horses with severe asthma. Objective: The main objective was to characterize the IgE profiles of asthmatic horses in Switzerland using a protein microarray platform in serum and bronchoalveolar lavage fluid (BALF). The secondary objective was to determine whether serological and BALF allergen-specific IgE concentrations correlated. Methods: Forty-four asthmatic and 39 control horse...
Predictors of foaling outcomes in barren and maiden Thoroughbred mares in South Africa.
Journal of the South African Veterinary Association    November 8, 2022   Volume 93, Issue 2 doi: 10.36303/JSAVA.519
Scholtz M, Guthrie AJ, Fosgate GT, Schulman ML.Population demographics and reproductive performance of Thoroughbred populations have been described, but the most recent assessment of the South African Thoroughbred population was reported two decades ago. Objectives of this study were to report demographic data for selected Thoroughbred breeding populations and to analyse selected mare-level variables in association with foaling outcomes, as predictors of reproductive performance. The National Horseracing Authority of Southern Africa's stud health scheme requires annual screening of Thoroughbred stallions, maiden and barren mares for venere...
Clinical predictive models in equine medicine: A systematic review.
Equine veterinary journal    November 8, 2022   Volume 55, Issue 4 573-583 doi: 10.1111/evj.13880
Cummings CO, Krucik DDR, Price E.Clinical predictive models use a patient's baseline demographic and clinical data to make predictions about patient outcomes and have the potential to aid clinical decision making. The extent of equine clinical predictive models is unknown in the literature. Using PubMed and Google Scholar, we systematically reviewed the predictive models currently described for use in equine patients. Models were eligible for inclusion if they were published in a peer-reviewed article as a multivariable model used to predict a clinical/laboratory/imaging outcome in an individual horse or herd. The agreement o...
Hierarchical modeling of elastic moduli of equine hoof wall.
Journal of the mechanical behavior of biomedical materials    October 23, 2022   Volume 136 105529 doi: 10.1016/j.jmbbm.2022.105529
Shiang CA, Bonney C, Lazarus B, Meyers M, Jasiuk I.This study predicts analytically effective elastic moduli of substructures within an equine hoof wall. The hoof wall is represented as a composite material with a hierarchical structure comprised of a sequence of length scales. A bottom-up approach is employed. Thus, the outputs from a lower spatial scale serve as the inputs for the following scale. The models include the Halpin-Tsai model, composite cylinders model, a sutured interface model, and classical laminate theory. The length scales span macroscale, mesoscale, sub-mesoscale, microscale, sub-microscale, and nanoscale. The macroscale re...
Following the niche: the differential impact of the last glacial maximum on four European ungulates.
Communications biology    September 29, 2022   Volume 5, Issue 1 1038 doi: 10.1038/s42003-022-03993-7
Leonardi M, Boschin F, Boscato P, Manica A.Predicting the effects of future global changes on species requires a better understanding of the ecological niche dynamics in response to climate; the large climatic fluctuations of the last 50,000 years can be used as a natural experiment to that aim. Here we test whether the realized niche of horse, aurochs, red deer, and wild boar changed between 47,000 and 7500 years ago using paleoecological modelling over an extensive archaeological database. We show that they all changed their niche, with species-specific responses to climate fluctuations. We also suggest that they survived the climati...
Rapid risk assessment tool (RRAT) to prioritize emerging and re-emerging livestock diseases for risk management.
Frontiers in veterinary science    September 7, 2022   Volume 9 963758 doi: 10.3389/fvets.2022.963758
de Vos CJ, Petie R, van Klink EGM, Swanenburg M.Increasing globalization and international trade contribute to rapid expansion of animal and human diseases. Hence, preparedness is warranted to prevent outbreaks of emerging and re-emerging diseases or detect outbreaks in an early stage. We developed a rapid risk assessment tool (RRAT) to inform risk managers on the incursion risk of multiple livestock diseases, about the main sources for incursion and the change of risk over time. RRAT was built as a relational database to link data on disease outbreaks worldwide, on introduction routes and on disease-specific parameters. The tool was parame...
Improving energy consumption prediction for residential buildings using Modified Wild Horse Optimization with Deep Learning model.
Chemosphere    September 1, 2022   Volume 308, Issue Pt 1 136277 doi: 10.1016/j.chemosphere.2022.136277
Vasanthkumar P, Senthilkumar N, Rao KS, Metwally ASM, Fattah IM, Shaafi T, Murugan VS.The consumption of a significant quantity of energy in buildings has been linked to the emergence of environmental problems that can have unfavourable effects on people. The prediction of energy consumption is widely regarded as an effective method for the conservation of energy and the improvement of decision-making processes for the purpose of lowering energy use. When it comes to the generation of positive results in prediction tasks, the Machine Learning (ML) technique can be considered the most appropriate and applicable strategy. This article presents a Modified Wild Horse Optimization w...
1 3 4 5 6 7 18